Problem 11 Use the Master theorem to find the asymptotic complexity (O) of this function: T(n) = n + T(n).
Problem 11 Use the Master theorem to find the asymptotic complexity (O) of this function: T(n) = n + T(n).
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
![**Problem 11** Use the Master theorem to find the asymptotic complexity (Θ) of this function:
\[ T(n) = n^4 + T(n) \]
**ANSWER:**](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8abda4d0-aef7-4bfa-8fb9-182b00f7a9e2%2F76bc4c35-d02b-4951-a8de-8ae2fc16d4d6%2Fr437a7n_processed.png&w=3840&q=75)
Transcribed Image Text:**Problem 11** Use the Master theorem to find the asymptotic complexity (Θ) of this function:
\[ T(n) = n^4 + T(n) \]
**ANSWER:**
Expert Solution

Theorem
Master theorem
The master theorem is a recipe that gives asymptotic estimates for a class of recurrence relations that often show up when analyzing recursive algorithms.
Let a ≥ 1 and b > 1 be constants, let f(n) be a function, and let T(n) be a function over the positive numbers defined by the recurrence
T(n) = aT(n/b) + f(n).
If f(n) = Θ(nd), where d ≥ 0, then
- T(n) = Θ(nd) if a < bd,
- T(n) = Θ(ndlog n) if a = bd,
- T(n) = Θ(nlogba) if a > bd.
Step by step
Solved in 2 steps

Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Recommended textbooks for you

Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education

Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON

Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON

Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education

Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON

Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON

C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON

Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning

Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education